南京冬季气溶胶光学特性及黑碳光吸收增强效应

2016年1月1~19日在南京北郊利用三波长光声黑碳光度仪(PASS-3)对气溶胶的光学性质进行了实时在线观测,同时结合气溶胶化学组成分析了黑碳气溶胶的光吸收增强效应.结果表明,观测期间气溶胶在532 nm下的吸收系数、散射系数、单散射反照率的平均值为(64.19±35.28)Mm-1、(454.68±238.71)Mm-1、0.87±0.03,受边界层高度及颗粒物浓度的影响,呈现出明显的日变化特征.黑碳气溶胶的质量吸收截面(MAC)在观测期间的变化趋势为前期低,后期高,与非EC组分相对EC比值的变化趋势一致,受不同污染条件下二次物质的占比及覆盖物厚度变化的影响.基于MAC计算得到的405、532、781nm下的光吸收增强(EMAC)平均值分别为1.53±0.56、1.34±0.47、1.14±0.40,随着波长增加而降低,存在棕色碳(Br C)的贡献.各非EC组分相对EC的比值与EMAC均有一定相关性,其中OC/EC与EMAC相关性最高,说明有机物的积累是导致黑碳光吸收增强的主要原因.K+/EC与EMAC的高相关性表明生物质燃烧过程对光吸收增强也有一定影响.     

典型工业源VOCs治理现状及排放组成特征

基于长三角典型城市大气VOCs排放清单识别的8个VOCs主要排放行业,选择11家代表性企业,实测研究了VOCs治理装置、排放现状、排放组成特征,并计算相关行业排放的臭氧生成潜势.结果表明,不同净化技术对非甲烷总烃(NMHC)的去除效率差异大,存在净化后浓度增加的现象,目前的环保装置对废气的处理有待优化.本次采样的大部分企业存在NMHC、苯、甲苯、二甲苯超标现象,其中甲苯的超标情况最严重.对于筛选的8个主要行业,芳香烃和含氧VOCs,是最主要的排放化合物,芳香烃是对臭氧生成贡献最大的化合物.在不同行业中,VOCs组成存在显著差异,因此在制定VOCs减排控制措施时,应优先减排对臭氧生成贡献大的行业.     

1株耐盐异养硝化-好氧反硝化菌Zobellella sp.B307的分离及脱氮特性

从胶州湾沉积物中分离出1株异养硝化-好氧反硝化菌株B307,采用16S rRNA基因序列分析对该菌株进行鉴定,采用单因素实验对其进行条件优化和耐盐特性研究,并在最优条件下考察其在单一和混合氮源中的脱氮效果.结果表明,该菌为Zobellella sp.,其最佳碳源为丁二酸钠,最适C/N为5,最适初始p H为9,最适温度为35~40℃.该菌株在混合氮源体系中12 h对NH_4~+-N和NO_3~--N的去除率分别为98.35%和99.75%;在盐度为75 g·L~(-1)(以NaCl计)条件下24 h对NH_4~+-N和NO_3~--N去除率仍分别保持在97.67%和94.39%.表明该菌株具有高效的异养硝化-好氧反硝化能力和较强的耐盐特性,在高盐废水脱氮等领域具有广泛的应用前景.     

钙法解吸并固定乙醇胺富液中CO2

针对醇胺类吸收剂富液中CO_2的解吸及后续处置所存在的不足,提出一种新型解吸方案——钙法.通过CO_2负荷试验和Ca(OH)_2投加量试验确定了该法理想处理负荷为0.84 mol·L-1,理想投加比例为C∶Ca=1∶1(摩尔比),此条件下反应15 min和30 min的解吸率达到52.17%和55.02%,这表明钙法矿化解吸乙醇胺富液中CO_2是可行的.在此基础上,进一步研究了pH、温度和搅拌强度对CO_2解吸固定效果的影响.试验结果表明,CO_2解吸率随着pH和搅拌强度的增加而增大,但当pH和搅拌强度增大到一定程度后,解吸率增长放缓甚至出现下降.较高的解吸温度尽管解吸率更大,但高温条件下无法达到矿化固定CO_2的目的.CO_2二次吸收负荷试验表明经钙法解吸后的MEA再生液具有良好的可重复使用性.     

基于紫外光谱分析的腐殖质混凝控制

腐殖质是水溶性天然有机物(DOM)的主要成分,对水处理过程有重要影响.为探究利用紫外光谱分析实现饮用水处理在线混凝控制的可行性和理论基础,以含腐殖酸和高岭土配水为实验对象,通过烧杯实验考察了不同水质条件对PACl混凝剂最佳投加量的影响,研究了SUVA_(254)和光谱特征斜率与混凝效果的相关性,利用排阻色谱分析了紫外光谱斜率与水体有机物组分之间的关系.结果表明,混凝剂最佳投加量与DOM浓度呈正比关系,两者计量学关系(以Al/DOC计)为0.61mg·mg~(-1).随混凝剂投加量的增加,腐殖酸溶液的SUVA_(254)从8.9 L·(mg·m)~(-1)下降并稳定至2.0 L·(mg·m)~(-1),有机物去除率与SUVA_(254)值呈正相关.光谱斜率与SUVA_(254)的变化趋势一致,且S_(275~295)与SUVA_(254)线性相关最优(R2=0.81).排阻色谱结果表明,混凝优先去除DOM中的腐殖质组分,S275~295与有机物中腐殖质组分对总UVA_(254)的占比存在明显的线性相关,光谱斜率测定对实现饮用水混凝过程的控制有重要意义.     

基于Logistic方程描述的鱼食和阿特拉津共同作用对铜绿微囊藻生长的影响

在养殖水域中地表径流等可引起水域中除草剂浓度升高,威胁养殖水环境的生态平衡.为评价阿特拉津和鱼食在水环境中的生态风险,以ρ（阿特拉津）（0、5、10、20和40 μg/L）及鱼食（鱼食为MⅡ培养基中的氮、磷营养源）投加量（0.05、0.20 g;d < 0.85 mm）为变量,基于Logistic方程探讨阿特拉津和鱼食共同作用下铜绿微囊藻（Microcystis aeruginosa）的生长,并研究藻类生长对鱼食营养盐的利用.结果表明:在ρ（阿特拉津）为0~40 μg/L范围内,铜绿微囊藻生长曲线均可用Logistic方程描述（R2=0.975~0.996）;一般情况下,基于Logistic方程得到的比生长速率、增殖速率和抑制率拟合公式均可描述相应实测值的变化,相关性分析得到的拟合值与实测值相关系数（R2）分别为0.861~0.992、0.381~0.839和0.621~0.839.相同ρ（阿特拉津）下,鱼食投加量对藻细胞密度有显著影响（P < 0.05）,Logistic方程拟合得到的理论最大藻细胞密度（K）随鱼食投加量的增加而增大.相同鱼食投加量下,ρ（阿特拉津）为5~40 μg/L时对藻类生长有抑制作用,随ρ（阿特拉津）增加,抑制强度逐渐升高,藻细胞密度越低,最大藻细胞密度随ρ（阿特拉津）的增加而减小.藻细胞密度与PO₄3--P利用量之间关系可用方程N=a×△cb描述,R2为0.23~0.99;藻细胞密度与NH₄+-N利用量之间关系可用方程N=a+b×△c描述,R2为0.04~0.99;藻细胞密度与TN/TP、NH₄+-N/TN和PO₄3--P/TP的关系均可用幂函数方程N=a"xb'描述,R2分别为0.72~0.78、0.66~0.83和0.55~0.56.研究显示,Logistic方程可用于分析阿特拉津和鱼食对铜绿微囊藻生长的影响,且藻类生长与营养盐质量浓度之间存在一定的定量关系.      

铁纳米线对水中Cu2+的吸附性能及机理

为研究nZVI（纳米零价铁）材料对水中Cu2+的吸附性能,采用液相还原法合成核壳结构的nZVI,即FSCNs（铁纳米线,Fe@Fe₂O₃ core-shell nanowires）.通过批处理吸附试验研究pH、离子强度、FSCNs投加量、反应时间、初始ρ（Cu2+）、反应温度等因素对Cu2+去除率的影响,运用动力学模型、等温吸附模型和吸附热力学模型分析FSCNs对Cu2+的吸附特性,并利用SEM（扫描电镜）、XRD（X射线衍射）和XPS（X射线光电子能谱）等表征手段探讨FSCNs对Cu2+的吸附机制.结果表明:①在pH为5、离子强度为0.01 mol/L、FSCNs投加量为0.5 g/L、反应温度为318 K条件下,FSCNs对Cu2+产生的吸附容量最大,为387.6 mg/g.②FSCNs对Cu2+的吸附反应在30 min内达到吸附平衡,此时的最大吸附率可达96%;FSCNs对Cu2+的吸附更符合准二级动力学模型（R2≥0.992）,表明化学吸附可能为该反应的限制步骤;Langmuir和Freundlich等温吸附模型均能较好地拟合吸附结果（R2≥0.992）;该吸附过程是自发的吸热反应〔ΔG0（吉布斯标准自由能） < 0,ΔH0（标准焓变）>0〕.③大部分Cu2+在加入FSCNs后转化为Cu、Cu₂O和CuO,被吸附在FSCNs表面,吸附、还原与共沉淀可能是FSCNs去除水中Cu2+的主要机理.研究显示,FSCNs对Cu2+的最大吸附容量为387.6 mg/g,能快速高效吸附水中的Cu2+,应用前景良好.      

Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring

Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km~2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone.     

Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China

Volatile organic compounds (VOCs) are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes (41.8%), followed by aromatics (20.1%), alkenes (17.9%), and halo-hydrocarbons (12.5%). The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization (PMF) coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources: solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions (23%), refinery and petrochemical industrial emissions (21%), fuel evaporations (13%) and vehicular emissions (13%). The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentration, followed by aromatics and alkanes. Based on a maximum incremental reactivity (MIR) method, the average hourly ozone formation potential (OFP) of VOCs is 220.49?ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area.     

Insights into the formation of secondary organic carbon in the summertime in urban Shanghai

To investigate formation mechanisms of secondary organic carbon(SOC) in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O_3 concentrations(daily peak 120 ppb) was observed, during which daily maximum SOC concentrations exceeding 9.0 μg/(C·m~3). Diurnal variations of SOC concentration and SOC/organic carbon(OC) ratio exhibited both daytime and nighttime peaks. The SOC concentrations correlated well with O_x(= O_3+ NO_2) and relative humidity in the daytime and nighttime, respectively, suggesting that secondary organic aerosol formation in Shanghai is driven by both photochemical production and aqueous phase reactions. Single particle mass spectrometry was used to examine the formation pathways of SOC. Along with the daytime increase of SOC, the number fraction of elemental carbon(EC) particles coated with OC quickly increased from 38.1% to 61.9% in the size range of 250–2000 nm, which was likely due to gas-to-particle partitioning of photochemically generated semi-volatile organic compounds onto EC particles. In the nighttime, particles rich in OC components were highly hygroscopic, and number fraction of these particles correlated well with relative humidity and SOC/OC nocturnal peaks. Meanwhile, as an aqueous-phase SOC tracer, particles that contained oxalate-Fe(III) complex also peaked at night. These observations suggested that aqueous-phase processes had an important contribution to the SOC nighttime formation. The influence of aerosol acidity on SOC formation was studied by both bulk and single particle level measurements, suggesting that the aqueous-phase formation of SOC was enhanced by particle acidity.